Collecting demographic information from your customers is the old way of doing marketing. With the technological development there are more convenient way to do marketing. The concept of Big Data embrace the process to perform in-depth analysis of customer data in real time.
To be ahead in the game with your competitors, adaptation with Artificial Intelligence and Machine Learning technologies are much important. It wave for the next generation marketing strategies. Google Now and Apple’s voice assistant Siri are the 2 famous example for AI capabilities. For another example, the banking sector introduced a machine-based intelligent assistant to address customers frequently asked questions.
According to literature, 60% of content marketers struggle with personalization. This is a serious problem at a time when consumers are seeking highly unique, interactive experiences with retail brands.
There are two ways of implementing personalize content marketing. First, offer audiences omni-channel marketing campaigns so they can engage with your content on devices of their preference. Second, leverage users’ demographic data to provide relevant content. This can be achieved by collecting information from users, such as their zip code, to deliver location-relevant content on their preferred topics so that they get access to material that they find interesting.
To analyze the content in-depth analytical tools are required. As the field of Artificial Intelligence progresses, AI-based algorithms will be able to create strategies by sifting through large volumes of data by recognizing and analyzing patterns.
Natural Language Generation (NLG) is an important branch of Artificial Intelligence that is set to impact content marketing in the future. Natural Language Generation essentially uses specifically created algorithms to translate data into human-like language. This will result in the automation of news reporting and headline generation, among other tasks.
However, this does not spell doom for content marketing. It only means that content marketers will have access to superior, advanced tools and technologies, enabling them to better analyze the content they create. Deeper insights will allow content marketers to effectively predict content performance and patterns in audience engagement.